Hybrid Feature Selection Based on Principal Component Analysis and Grey Wolf Optimizer Algorithm for Arabic News Article Classification-Reference-Cited by-同舟云学术

Hybrid Feature Selection Based on Principal Component Analysis and Grey Wolf Optimizer Algorithm for Arabic News Article Classification

Author:

Alomari Osama Ahmad¹,Elnagar Ashraf²^ORCID,Afyouni Imad²^ORCID,Shahin Ismail³^ORCID,Nassif Ali Bou⁴^ORCID,Hashem Ibrahim Abaker²,Tubishat Mohammad⁵

Affiliation:

1. MLALP Research Group, University of Sharjah, Sharjah, United Arab Emirates

2. Department of Computer Science, University of Sharjah, Sharjah, United Arab Emirates

3. Department of Electrical Engineering, University of Sharjah, Sharjah, United Arab Emirates

4. Department of Computer Engineering, University of Sharjah, Sharjah, United Arab Emirates

5. College of Technological Innovation, Zayed University, Abu Dhabi, United Arab Emirates

Funder

UoS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference89 articles.

4. Arabic text classification using hybrid feature selection method using chi-square binary artificial bee colony algorithm;hijazi;Comput Sci,2021

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